University of Illinois Urbana-Champaign

Coverage analysis for assertions and emulation based verification

Athavale, Viraj

Content Files
Athavale_Viraj.pdf

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https://hdl.handle.net/2142/29795

Description

Title
Coverage analysis for assertions and emulation based verification
Author(s)
Athavale, Viraj
Issue Date
2012-02-06T20:17:35Z
Director of Research (if dissertation) or Advisor (if thesis)
Vasudevan, Shobha
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Date of Ingest
2012-02-06T20:17:35Z
Keyword(s)
  • pre-silicon verification
  • coverage
  • assertions
  • emulation
  • code coverage
  • fault coverage
  • static analysis
Abstract
Coverage analysis is critical in pre-silicon verification of hardware designs for assessing the completeness of verification and identifying inadequately exercised areas of the design. It is widely integrated in the simulation based verification flow in the hardware industry. In this thesis, we provide solutions to enable effective coverage analysis in assertion based and emulation based verification. We introduce two practical and effective code coverage metrics for assertions: one inspired by the test suite code coverage reported by Register Transfer Level (RTL) simulators and the other by assertion correctness in the context of formal verification. We present efficient algorithms to compute coverage with respect to the proposed metrics by analyzing the Control Flow Graph (CFG) constructed from the RTL source code. We apply our technique to a USB 2.0 design and an OpenRISC processor design and show that our coverage evaluation is efficient and scalable. We also present a technique to evaluate and rank automatically generated assertions based on fault coverage. We present a novel technique to extract code coverage from emulation platforms. Using our CFG framework, we identify conditions or decision nodes and map them to other statements in the code. Triggering of decision nodes is recorded using additional trigger logic during emulation and mapped back to the source code to obtain coverage information. We apply our technique to an industrial design and show that it can efficiently provide fairly accurate code coverage statistics with minimal overheads during emulation.
Graduation Semester
2011-12
Permalink
http://hdl.handle.net/2142/29795
Copyright and License Information
Copyright 2011 Viraj Athavale

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